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Turbidite stratigraphy in proglacial lakes: Deciphering trigger mechanisms using a statistical approach.

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Title: Turbidite stratigraphy in proglacial lakes: Deciphering trigger mechanisms using a statistical approach.
Authors: Praet, Nore1 (AUTHOR) Nore.Praet@UGent.be, Van Daele, Maarten1 (AUTHOR), Collart, Tim1 (AUTHOR), Moernaut, Jasper2 (AUTHOR), Vandekerkhove, Elke1 (AUTHOR), Kempf, Philipp1,3 (AUTHOR), Haeussler, Peter J.4 (AUTHOR), De Batist, Marc1 (AUTHOR), Felletti, Fabrizio (AUTHOR)
Source: Sedimentology. Aug2020, Vol. 67 Issue 5, p2332-2359. 28p. 1 Black and White Photograph, 2 Diagrams, 2 Charts, 7 Graphs, 1 Map.
Subjects: Turbidites, Event stratigraphy, Cluster analysis (Statistics), Principal components analysis, Lakes, Paleohydrology
Geographic Terms: Alaska
Abstract: Turbidites embedded in lacustrine sediment sequences are commonly used to reconstruct regional flood or earthquake histories. A critical step for this method to be successful is that turbidites and their trigger mechanisms are determined unambiguously. The latter is particularly challenging for prehistoric proglacial lake records in high‐seismicity settings where both earthquake‐generated and flood‐generated turbidites interrupt the background varved sedimentation. This calls for a new method to allow efficient and objective identification and classification of turbidites. This study examined turbidites in five long (9 to 17 m) sediment cores from Eklutna Lake, a proglacial lake in south‐central Alaska, using standard core logging and grain‐size data. A novel statistical approach is presented, in which varve‐thickness distributions were first analyzed to objectively identify the thickest turbidites and distinguish them from background sedimentation. For each turbidite, a selection of variables were then measured, including: basal grain‐size, thickness, magnetic susceptibility and spectrophotometric variables. Triggering mechanisms were discriminated by a combination of principal component analysis and clustering, and by calibration with historical events. Using this approach, a 2250 year long lake‐wide event stratigraphy was constructed, with 94 prehistoric events, including 24 earthquake and 70 flood events. Basal grain‐size and thickness variables turn out to be the most effective proxies for discrimination. This statistical approach is a powerful and new method to identify turbidites and their triggering mechanisms in long prehistoric sediment records. It opens up new prospects for palaeoseismological, palaeohydrological and palaeoclimate studies in proglacial lakes worldwide. [ABSTRACT FROM AUTHOR]
Copyright of Sedimentology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: Turbidites embedded in lacustrine sediment sequences are commonly used to reconstruct regional flood or earthquake histories. A critical step for this method to be successful is that turbidites and their trigger mechanisms are determined unambiguously. The latter is particularly challenging for prehistoric proglacial lake records in high‐seismicity settings where both earthquake‐generated and flood‐generated turbidites interrupt the background varved sedimentation. This calls for a new method to allow efficient and objective identification and classification of turbidites. This study examined turbidites in five long (9 to 17 m) sediment cores from Eklutna Lake, a proglacial lake in south‐central Alaska, using standard core logging and grain‐size data. A novel statistical approach is presented, in which varve‐thickness distributions were first analyzed to objectively identify the thickest turbidites and distinguish them from background sedimentation. For each turbidite, a selection of variables were then measured, including: basal grain‐size, thickness, magnetic susceptibility and spectrophotometric variables. Triggering mechanisms were discriminated by a combination of principal component analysis and clustering, and by calibration with historical events. Using this approach, a 2250 year long lake‐wide event stratigraphy was constructed, with 94 prehistoric events, including 24 earthquake and 70 flood events. Basal grain‐size and thickness variables turn out to be the most effective proxies for discrimination. This statistical approach is a powerful and new method to identify turbidites and their triggering mechanisms in long prehistoric sediment records. It opens up new prospects for palaeoseismological, palaeohydrological and palaeoclimate studies in proglacial lakes worldwide. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Sedimentology is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1111/sed.12703
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      – Code: eng
        Text: English
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      Pagination:
        PageCount: 28
        StartPage: 2332
    Subjects:
      – SubjectFull: Turbidites
        Type: general
      – SubjectFull: Event stratigraphy
        Type: general
      – SubjectFull: Cluster analysis (Statistics)
        Type: general
      – SubjectFull: Principal components analysis
        Type: general
      – SubjectFull: Lakes
        Type: general
      – SubjectFull: Paleohydrology
        Type: general
      – SubjectFull: Alaska
        Type: general
    Titles:
      – TitleFull: Turbidite stratigraphy in proglacial lakes: Deciphering trigger mechanisms using a statistical approach.
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              Text: Aug2020
              Type: published
              Y: 2020
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